Lin Huan Jhe's repositories
ETL-PostgreSQL-MongoDB
We scraped three data sets from the world bank, population by nations, GDP by nations, and sex distribution by nations. And store the cleaned datasets into SQL_db and NO-SQL_db
API-TargetingHolidayLocation
This project aims to use maps-api tools to scrap the datasets for picking out cities with suitable weather conditions for traveling purposes.
Backtrader-ASX
Use Backtrader python library to create a trading strategy and applied on several ASX stocks
CirrhosisPrediction
Using Flask, Heroku, and MongoDB to create a interactive web app and achieve an live-prediction
FlaskApp-StockInsights
A project used Flask to present a stock-insight dashboard. Utilised google trend to catch recently the hottest topics regarding to ASX, imported a python library, yfinanace, to scrap targeted stock’s data which users interested in, and provided users with a NoSQL database to store and delete their records of stocks' relative data.
GmapsVisualization-Airbnb
The share economy has quickly become a big part of our life and is continuing to grow and innovate industries at a rapid rate. The purpose of this project is gaining more insight into the use of Airbnb in Perth metropolitan area.
InteractiveWeb-BellyButtonBiodiversity
Use JS to create a dropdown-menu, display data in HTML, plot a bar-chart, a gauge-chart and a bubble-chart with Plotly.
Leaflet-Earthquake
Utilise Leaflet library to visualise earthquake and create two layer of map to understand the relation between earthquake and tectonic plates.
Tableau-CityBikeNYC
Utilized Python3 to do ETL process with the big data set sourced from NYC City Bike and generate insights by using Tableau.
NeuralNetworkModel-Predictor
Using a neural network model to create a classifier and optimising the model by applying for-loop method.
SQL-Database
This is a scenario about it's been two weeks since I was hired as a new data engineer at Pewlett Hackard. My first major task is a research project on employees of the corporation from the 1980s to 1990s.
SQLAlchemy-ClimateAnalysisAndExploration
Using SQLalchemy to extract dataset from sqlite, Pandas to transform dataset, Scipy to run statistic tests and visualise the result with Matplotlib
SupervisedML-PredictingCreditRisk
Comparing two supervised machine learning(Logistic Regression and RandomClassifier model)
UnsupervisedML-MyopiaClusters
Apply unsupervised machine learning to cluster myopia data
WebScraping-MissionToMars
Scrap data from two websites and store data in MongoDB and as a json file. Visualise Mars weather data for the simple data analysis.
WebVisualization-LatitudeDashboard
This Project is using HTML and CSS to create a dashboard featuring the analysis that I have done.This website contains 7 pages. The topic of this project is about the impact of different latitudes on an area of the max temperature,the humidity,the cloudiness,and the wind speed.